A Nerurkar

1.7k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

A Nerurkar is a scholar working on Pathology and Forensic Medicine, Oncology and Cancer Research. According to data from OpenAlex, A Nerurkar has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in A Nerurkar's work include Breast Lesions and Carcinomas (3 papers), Breast Cancer Treatment Studies (3 papers) and Cancer Genomics and Diagnostics (2 papers). A Nerurkar is often cited by papers focused on Breast Lesions and Carcinomas (3 papers), Breast Cancer Treatment Studies (3 papers) and Cancer Genomics and Diagnostics (2 papers). A Nerurkar collaborates with scholars based in United Kingdom, New Zealand and United States. A Nerurkar's co-authors include Deborah J. Thompson, Sue Moss, Adrian K. Dixon, D. Gareth Evans, Rosalind A. Eeles, Preminda Kessar, Sunil R. Lakhani, Anwar R. Padhani, Linda Pointon and Douglas F. Easton and has published in prestigious journals such as The Lancet, Cancer Research and Journal of Clinical Pathology.

In The Last Decade

A Nerurkar

7 papers receiving 1.1k citations

Hit Papers

Screening with magnetic resonance imaging and mammography... 2005 2026 2012 2019 2005 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A Nerurkar United Kingdom 6 532 469 407 375 298 7 1.1k
Vania Vezzosi Italy 25 746 1.4× 548 1.2× 187 0.5× 643 1.7× 217 0.7× 56 1.4k
Inge Marie Obdeijn Netherlands 8 540 1.0× 443 0.9× 705 1.7× 565 1.5× 559 1.9× 11 1.6k
Petrina A. Causer Canada 17 496 0.9× 334 0.7× 1.1k 2.6× 581 1.5× 441 1.5× 37 1.9k
Nola Hylton United States 9 475 0.9× 371 0.8× 700 1.7× 454 1.2× 94 0.3× 25 1.3k
Corrado Tinterri Italy 18 621 1.2× 487 1.0× 256 0.6× 318 0.8× 113 0.4× 79 1.1k
Dieter Lampe Germany 14 550 1.0× 412 0.9× 333 0.8× 425 1.1× 64 0.2× 32 1.1k
Katharina Heusinger Germany 21 603 1.1× 487 1.0× 232 0.6× 260 0.7× 125 0.4× 56 1.2k
Mark A. Arredondo United States 12 362 0.7× 379 0.8× 351 0.9× 377 1.0× 52 0.2× 19 1.0k
Sepideh Saadatmand Netherlands 10 279 0.5× 322 0.7× 156 0.4× 170 0.5× 154 0.5× 14 648
Cynthia Aparecida Bueno de Toledo Osório Brazil 18 311 0.6× 260 0.6× 178 0.4× 146 0.4× 93 0.3× 49 786

Countries citing papers authored by A Nerurkar

Since Specialization
Citations

This map shows the geographic impact of A Nerurkar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A Nerurkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Nerurkar more than expected).

Fields of papers citing papers by A Nerurkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A Nerurkar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by A Nerurkar. The network helps show where A Nerurkar may publish in the future.

Co-authorship network of co-authors of A Nerurkar

This figure shows the co-authorship network connecting the top 25 collaborators of A Nerurkar. A scholar is included among the top collaborators of A Nerurkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A Nerurkar. A Nerurkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Turner, Nicholas C., Isaac García-Murillas, Neha Chopra, et al.. (2017). Abstract P1-02-01: Circulating tumor DNA analysis to predict relapse and overall survival in early breast cancer – Longer follow-up of a proof-of-principle study. Cancer Research. 77(4_Supplement). P1–2. 1 indexed citations
2.
López‐Knowles, Elena, Paul M Wilkerson, Ricardo Ribas, et al.. (2015). Integrative analyses identify modulators of response to neoadjuvant aromatase inhibitors in patients with early breast cancer. Breast Cancer Research. 17(1). 35–35. 7 indexed citations
3.
Hegyi, László, Khin Thway, Robert Newton, et al.. (2009). Malignant myoepithelioma arising in adenomyoepithelioma of the breast and coincident multiple gastrointestinal stromal tumours in a patient with neurofibromatosis type 1. Journal of Clinical Pathology. 62(7). 653–655. 10 indexed citations
4.
Jones, Robin L., Janine Salter, Roger A’Hern, et al.. (2009). Relationship between oestrogen receptor status and proliferation in predicting response and long-term outcome to neoadjuvant chemotherapy for breast cancer. Breast Cancer Research and Treatment. 119(2). 315–323. 96 indexed citations
5.
Jones, Robin L., Janine Salter, Roger A’Hern, et al.. (2008). The prognostic significance of Ki67 before and after neoadjuvant chemotherapy in breast cancer. Breast Cancer Research and Treatment. 116(1). 53–68. 234 indexed citations
6.
Westbury, Charlotte, Alex Pearson, A Nerurkar, et al.. (2007). Hypoxia can be detected in irradiated normal human tissue: a study using the hypoxic marker pimonidazole hydrochloride. British Journal of Radiology. 80(959). 934–938. 25 indexed citations
7.
Leach, Martin O., Caroline Boggis, Adrian K. Dixon, et al.. (2005). Screening with magnetic resonance imaging and mammography of a UK population at high familial risk of breast cancer: a prospective multicentre cohort study (MARIBS). The Lancet. 365(9473). 1769–1778. 765 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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